Students must present 30 hours of course work (which are broken into 4 components as detailed below) and maintain a 3.0 GPA or above for the M.S. degree. At least 24 of these hours must consist of graduate level (numbered 5000 or higher) courses with the MATH prefix. The remaining 6 hours must be either MATH courses numbered 5000 or above or approved courses outside the department numbered 4000 or above. Up to 9 semester hours of prior course work may be transferred in (subject to approval); these must be at the 5000 level or above with a B- or better grade. Courses already applied toward another degree (graduate or undergraduate) cannot be used toward the M.S. degree in
Statistics. Additionally, the following MATH courses will NOT count toward a graduate degree: MATH 5010, 5012-5015, 5017, 5198, and 5830.

Following completion of course work, all students must complete a written project and pass a final oral exam. The project is developed as a student-centered independent research component within MATH 5960 unless the student has chosen the thesis option. For students choosing the thesis option, 4 to 6 hours (of the 30 required hours) may be devoted to the writing of a thesis through MATH 5950. By graduate school rules, Master’s students, whether enrolled
full-time or part-time, must complete all  requirements within 7 years of matriculation.

Course Requirements for the M.S. Degree in Statistics

The M.S. degree in Statistics consists of 4 components: 1) core courses, 2) statistics electives, 3) other electives, and 4) MATH 5960 (Master’s project) or MATH 5950 (Master’s thesis). Core Courses: The core courses include:

  • Math 5310 – Probability
  • Math 5320 – Introduction to Mathematical Statistics
  • Math 5387 – Applied Regression Analysis
  • Math 6330 – Workshop in Statistical Consulting

Statistics Electives: Nine hours of statistics electives are required. A running list is given below. Additional courses can be substituted given prior approval by the student's advisor and the Director of the Program in Statistics.

  • MATH 5394 - Experimental Designs
  • MATH 5792 - Probabilistic Modeling
  • MATH 6101 - Uncertainty Quantification
  • MATH 6380 - Stochastic Processes
  • MATH 6384 - Spatial and Functional Data Analysis
  • MATH 6388 - Statistical and Machine Learning
  • MATH 7386 - Monte Carlo Methods
  • MATH 7384 - Mathematical Probability
  • MATH 7393 - Bayesian Statistics
  • MATH 7826 - Topics in Probability and Statistics
  • Additional courses given prior approval by the student's advisor and the Director of the Program in Statistics

Other Electives: Six hours of other electives are required. Any MATH prefix course that can be used for an M.S. or Ph.D. degree in Applied Mathematics can be used as an Other Elective. While these courses could be additional statistics-focused courses, the added flexibility allows students to direct their coursework into other areas of mathematics and/or science. The following courses will not count toward the M.S. in Statistics: MATH 5010, MATH 5012-5015, MATH 5017, MATH 5198, and MATH 5830.

For more information: contact Dr. Joshua French.